OpenTopography Tool Registry

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The OpenTopography Tool Registry provides a community populated clearinghouse of software, utilities, and tools oriented towards high-resolution topography data (e.g. collected with lidar technology) handling, processing, and analysis. Tools registered below range from source code to full-featured software applications. We welcome contributions to the registry via the Contribute a Tool page.

Appearance of a tool in the OpenTopography Tool Registry does not imply endorsement, recommendation, or support, by the NSF OpenTopography Facility and is meant simply as a service to our users. OpenTopography does not guarantee the completeness or accessibility of specific content and links contributed by users. If you have been directly involved with the development of a registered tool and are not the original contributor of the tool to the registry, please email info@opentopography.org to supply updates or modifications to its entry.
Date   Tool Name Tool Type Keywords Rating
9 Jun 2011 MCC-LIDAR

Description: Multiscale Curvature Classification of ground returns in 3-D lidar point clouds (las files), designed for forested environments
 
Point Cloud Analysis classification, filter, curvature, ground, interpolation
(0 rating)
27 May 2014 Whitebox Geospatial Analysis Tools

Description: Whitebox GAT is a full-blown GIS with extensive analysis capabilities for handling LiDAR data, including specialized interpolation algorithms for LAS data, removal of off-terrain objects, and plenty of tools for processing DEMs, e.g. hydrological tools, geomorphometry, etc. Here is a description for handling LiDAR:
http://whiteboxgeospatial.wordpress.com/2014/03/16/working-with-lidar-data-in-whitebox-gat/

 
Software Suite GIS, LAS file reader, interpolation, geospatial analysis
(0 rating)
30 Dec 2014 Potree

Description: Potree is a free and open source WebGL based viewer for large point clouds. ( 20 billion and more )
Some of its features include distance & area measurements, height profiles, clip volumes, various point rendering qualities (square, circle, interpolation, splats) and different types of materials.

 
Visualization, Point Cloud Analysis WebGL, Viewer
(2 ratings)